Mac Studio (2023)
Geekbench AI Score
14056
Single Precision Score
15308
Half Precision Score
13674
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mthocker |
| Upload Date | April 11 2025 01:11 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,13 |
| Motherboard | Mac14,13 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.35 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6563
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
6561
1.22 KIPS |
|
|
Image Classification (Q)
|
97% |
5910
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12290
199.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12062
195.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11935
193.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
62586
73.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
65592
76.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
60625
71.1 IPS |
|
|
Object Detection (SP)
|
100% |
6254
496.1 IPS |
|
|
Object Detection (HP)
|
100% |
6616
524.8 IPS |
|
|
Object Detection (Q)
|
91% |
5736
458.3 IPS |
|
|
Face Detection (SP)
|
100% |
24720
293.7 IPS |
|
|
Face Detection (HP)
|
100% |
26388
313.6 IPS |
|
|
Face Detection (Q)
|
100% |
19243
228.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
30070
231.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
30351
233.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
25555
199.7 IPS |
|
|
Style Transfer (SP)
|
100% |
115742
148.8 IPS |
|
|
Style Transfer (HP)
|
100% |
130418
167.7 IPS |
|
|
Style Transfer (Q)
|
96% |
121615
156.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20479
756.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21577
796.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17443
644.1 IPS |
|
|
Text Classification (SP)
|
100% |
2214
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3838
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3779
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2445
42.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2379
41.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2365
40.9 IPS |
